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Benjerry Reviews Spider

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Benjerry Reviews Spider

Benjerry Reviews Spider

This Apify Actor scrapes detailed customer reviews from Ben & Jerry's product pages, extracting ratings, comments, and timestamps for sentiment analysis and market insights. Features robust scraping, proxy support, customizable inputs, and clean JSON output for easy data integration.

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

Bookmarked

2

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0

Monthly active users

3 days ago

Last modified

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Introduction

The Benjerry Reviews Spider is a powerful Apify Actor designed to scrape customer reviews from Ben & Jerry's product pages. It extracts detailed review data, including ratings, comments, and timestamps, enabling businesses and researchers to analyze consumer sentiment and feedback. This tool is ideal for market research, competitive analysis, and gathering insights into product popularity.

Features

  • Comprehensive Review Extraction: Captures full review details such as text, ratings, reviewer names, and dates from specified Ben & Jerry's flavor pages.
  • High Reliability: Utilizes robust scraping techniques with built-in error handling to ensure consistent data collection.
  • Proxy Support: Integrates with Apify's proxy services for anonymous and efficient scraping, reducing the risk of IP bans.
  • Customizable Inputs: Allows users to specify multiple URLs for targeted scraping of specific products or categories.
  • Structured Output: Delivers data in clean JSON format, ready for export to CSV, Excel, or databases.
  • Scalable Performance: Handles large volumes of reviews quickly, with options for pagination and incremental scraping.
  • User-Friendly: Simple configuration through the Apify platform, no coding required.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesA list of URLs pointing to Ben & Jerry's product pages from which reviews will be scraped. Each URL must be a valid HTTP/HTTPS link.["https://www.benjerry.com/flavors/chocolate-chip-cookie-dough-non-dairy", "https://www.benjerry.com/flavors/vanilla"]
proxyConfigurationobjectNoConfiguration for proxy servers to anonymize requests and avoid rate limits. Defaults to Apify's residential proxies.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
"Urls": [
"https://www.benjerry.com/flavors/chocolate-chip-cookie-dough-non-dairy"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Output JSON

[
{
"product": "Chocolate Chip Cookie Dough Non-Dairy",
"reviewer": "Jane Doe",
"rating": 5,
"reviewText": "Absolutely delicious! The non-dairy version is just as creamy.",
"date": "2023-10-01",
"helpfulVotes": 12
},
{
"product": "Chocolate Chip Cookie Dough Non-Dairy",
"reviewer": "John Smith",
"rating": 4,
"reviewText": "Great flavor, but a bit too sweet for my taste.",
"date": "2023-09-28",
"helpfulVotes": 5
}
]

Use Cases

  • Market Research: Analyze trends in customer preferences for ice cream flavors to inform product development.
  • Competitive Intelligence: Compare Ben & Jerry's reviews with competitors to identify strengths and weaknesses.
  • Price Monitoring: Track sentiment alongside pricing data for dynamic pricing strategies.
  • Content Aggregation: Collect user-generated content for social media campaigns or blog posts.
  • Academic Research: Study consumer behavior and sentiment analysis in the food industry.
  • Business Automation: Automate weekly report generation on product feedback for quality assurance teams.

Installation and Usage

  1. Search for "Benjerry Reviews Spider" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters as described above.
  4. Click "Start" to begin extraction.
  5. Monitor progress in the log.
  6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs data as a JSON array of objects, where each object represents a single review. Key fields include:

  • product: The name of the product being reviewed.
  • reviewer: The name or username of the reviewer.
  • rating: A numerical rating (e.g., 1-5 stars).
  • reviewText: The full text of the review.
  • date: The date the review was posted (in YYYY-MM-DD format).
  • helpfulVotes: The number of helpful votes the review received.

This structured format ensures easy parsing and integration with data analysis tools.

Support

For custom/simplified outputs or bug reports, please contact:

We're here to help you get the most out of this Actor!